class_docstr: Token-based (input/output is tokens) encoder-decoder model (e.g. T5 Language model.)
code: def _validate_config(self):
      encoder_kv_channels = self._validate_kv_channels(self.encoder_cfg)
      decoder_kv_channels = self._validate_kv_channels(self.decoder_cfg)
      self._validate_enc_dec_hidden_size(
          self.encoder_cfg, self.decoder_cfg
      )
      self._validate_perceiver_config(self.encoder_cfg)
      self._validate_perceiver_config(self.decoder_cfg)
      if parallel_state.get_pipeline_model_parallel_world_size() > 1:
          assert (
              self.share_token_embeddings
          ), "Token embeddings must be shared when using pipeline model parallel size > 1"
          assert (
              self.share_decoder_tokens_head_embeddings
          ), "Decoder token embeddings and the outputlayer must be shared when using pipeline model parallel size > 1"
          assert (
              self.hiddens_cfg is None
          ), "Hiddens module must not be enabled when using pipeline model parallel size > 1"
  
      return encoder_kv_channels, decoder_kv_channels
  
imports: import torch
  from omegaconf import DictConfig
  from nemo.collections.nlp.modules.common.megatron.adapters.parallel_adapters import AdapterName, PromptEncoderAdapterConfig
  from nemo.collections.nlp.modules.common.megatron.hiddens import get_hiddens_module
  from nemo.collections.nlp.modules.common.megatron.language_model import Embedding
  from nemo.collections.nlp.modules.common.megatron.layer_type import LayerType
  from nemo.collections.nlp.modules.common.megatron.megatron_decoders import get_decoder_model
  from nemo.collections.nlp.modules.common.megatron.megatron_encoder_decoder import MegatronTransformerEncoderDecoderModule
  from nemo.collections.nlp.modules.common.megatron.megatron_encoders import get_encoder_model
  from nemo.collections.nlp.modules.common.megatron.module import MegatronModule
  from nemo.collections.nlp.modules.common.megatron.position_embedding import ALiBiRelativePositionEmbedding, KERPLERelativePositionEmbedding, T5RelativePositionEmbedding
  from nemo.collections.nlp.modules.common.megatron.utils import ApexGuardDefaults, build_position_ids, init_method_normal, parallel_lm_logits, scaled_init_method_normal
  from nemo.collections.nlp.modules.common.megatron.vocab_parallel_cross_entropy import vocab_parallel_cross_entropy
  from nemo.core.classes.mixins import adapter_mixins
label_desc: Use image node_id 5 for calling the MegatronTokenLevelEncoderDecoderModule obj's underlying member method code with example usage: obj._validate_config() and returns: encoder_kv_channels,  decoder_kv_channels